Evidence map›Paper›PMID 41029600›Full record

ArticleBMC public health2025

Different change patterns and sex difference for stroke and its subtypes mortality attributable to tobacco in China from 1990 to 2021.

Jingyuan Zhang, Jiaxin Sun, Yue Xu, Hongling Jing, Lei Zhang, Wenli Chen

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jingyuan ZhangDepartment of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Jiaxin SunDepartment of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Yue XuDepartment of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Hongling JingDepartment of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Lei ZhangDepartment of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China. zhangl92@sysu.edu.cn.
Wenli ChenDepartment of Pharmacy, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China. chenwenl@mail3.sysu.edu.cn.

Funding

National Natural Science Fund of China 82104144the Fifth Affiliated Hospital of Sun Yat-sen University of "Five Five" young talents program 220904094231the Fifth Affiliated Hospital of Sun Yat-sen University of Outstanding young talents cultivation program 3320104100322
6 · The paper itself

Abstract

backgroundTobacco use is one of the major risk factors of stroke. However, the dynamic changes in stroke attributable to tobacco over the past three decades in China remain unclear, as does the potential differential effect of tobacco on different stroke subtypes.

methodsData was derived from the Global Burden of Disease 2021 study. Tobacco use was defined as current or past usage of any smoked tobacco product and the average daily exposure to air particulate matter from second-hand smoking. Joinpoint regression and age-period-cohort analysis were adopted to analyze the trends in stroke mortality due to tobacco.

resultFrom 1990 to 2021, the age-standardized mortality rates (ASMR) for stroke attributable to tobacco exhibited a declining trend. Ischemic stroke (IS) exhibited the smallest decline, while subarachnoid hemorrhage (SAH) showed the largest decline. The curve of the net drifts showed a downward trend for all stroke subtypes irrespective of sex. Among stroke subtypes, mortality reductions were most pronounced in SAH, followed by intracerebral hemorrhage (ICH), and IS. The mortality of IS and ICH increased rapidly with age, while the mortality rate for SAH showed fluctuations with age. Both period and cohort rate ratios for stroke mortality attributable to tobacco have declined, with the most significant reduction observed in SAH and the least in IS. Stroke mortality attributable to tobacco in men was chiefly associated with active smoking, whereas in women, second-hand smoking was the predominant factor, exhibiting a gradual upward trend.

conclusionIn the past three decades, the risk ratio and ASMR of stroke attributable to tobacco showed the declining trend, and different stroke subtypes exhibited different change patterns in China. There was a gender disparity in the effects of active smoking and second-hand smoke exposure on men and women. Policies aimed at preventing tobacco-related stroke in the future must take the varying effects across different stroke subtypes and genders into account.

Indexed as

StrokeTobacco UseAdultAgedChinaFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsAge-period-cohort modelGlobal burden of diseaseJoinpoint regressionStrokeTobacco

Identifiers

PMID41029600
PMCPMC12487579

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.